Neo4j

Klarna’s CEO, Sebastian Siemiatkowski, recently shared how his company transformed its data architecture with Neo4j to support its GenAI initiatives, eliminating over 1,200 SaaS applications in the process. In this blog, Chandra Rangan, Chief Marketing Officer at Neo4j, provides insights and practical advice from Klarna's journey on why knowledge graphs remove data fragmentation and silos as the foundation for enterprise AI success and how they’re shaping application architecture for an agentic future. Learn more about this remarkable story here: https://bit.ly/420XOgC #Neo4j #graphdatabase #KnowledgeGraphs #GraphRAG Klarna

🇧🇷 Sao Paulo, here we go! We are part of #GartnerDA in Brazil and we want to meet you! Come to our booth for some interesting conversations and some demos that will help you understand how GraphRAG can develop accurate and explainable GenAI applications for your company. See you at booth 212! ▶️ Don't miss out on the session from Jesús Barrasa, "GraphRAG and Knowledge Graphs: Build Enterprise-Grade GenAI Applications". ▶️ Also, Jose Eduardo Machado will have a conversation with Nathalia Palazzo, Head of fraud at Ifood, about their experience with GraphRAG. Info (in Portuguese): https://bit.ly/4jr4Dzb #Neo4j Gartner #GraphRAG Heather Hughes Renata Mello

How does GraphRAG work? What are its advantages over other RAG? Dive into the fascinating world of #GraphRAG! Learn these and more in a blog post by Michael Hunger ... he also demonstrates its practical application using a Neo4j example! https://bit.ly/4f8wLVp #Neo4j #GraphRAG #knowledgegraphs

Google Cloud + Neo4j = Powering the next generation of AI and cloud innovation 🤩 We are happy to announce: 1️⃣ Two new Text2Cypher models, built on Google’s cutting-edge Gemma 3 architecture, effortlessly translate natural language into Cypher queries, unlocking rich insights within Neo4j knowledge graphs. 2️⃣ A joint collaboration that enhances Google’s MCP Toolbox for Databases, empowering developers to build agentic applications that seamlessly integrate diverse database tools, including those powered by Neo4j. We are at #GoogleCloudeNext, come to our booth for a conversation and some demos! https://bit.ly/3Yr3Eqy Google Cloud #GenAI #knowledgeGraphs #GoogleCloud #Neo4j Ed Sandoval Michael Hunger

Struggling with unstructured data? Kaustubh Darekar's new article breaks down the entire extraction process: - Ingesting data from PDFs, emails, S3, GCS, URLs & transcripts - Effective chunking strategies for large documents - Embedding generation for Neo4j vector search - LLM-powered entity extraction - Graph transformation techniques - Knowledge graph optimization Learn how automated text processing + graph-based structuring enable seamless knowledge discovery! https://bit.ly/3DzOHeS #llms #GenAI #knowledgegraphs #Neo4j

Graph databases are becoming the backbone for accurate AI apps! Great interview from John Furrier to Neo4j Chief Scientist Jim Webber on why GraphRAG is an essential part of the AI ecosystem. Learn how knowledge graphs provide crucial context from your data on your GenAI app and more! Complete interview: https://bit.ly/424bmcD SiliconANGLE & theCUBE #GenAI #llms #graphdatabase

Neo4j Live: GraphRAG for Smarter Medical AI Clinical documentation consumes a significant portion of a doctor’s time, a time better spent on patient care or research. Adiu Health addresses this by combining large language models with a Neo4j-powered knowledge graph to automate consultation summarization and enrich it with contextual medical insights. In this session, you’ll learn how Adiu health enhances LLM outputs with graph-based retrieval (GraphRAG), enabling tasks like identifying drug interactions, suggesting alternative treatments, and structuring follow-up recommendations. We’ll walk through the architecture, data modeling choices, and how Neo4j integrates into the overall GenAI workflow. Guests: Michael Banf & Johannes Kuhn Adiu Health: https://lnkd.in/dVUyDi63 #neo4j #graphdatabase #genai #graphrag #knowledgegraph #llm #lifescience #healthcare

Advancing GraphRAG: Text, Images, and Audio for Multimodal Intelligence Multimodal GraphRAG (mmGraphRAG)—is a cutting-edge framework that combines the semantic richness of images, audio, and text with the contextual reasoning power of graphs. This transformative approach enables an associative intelligence that moves search and analytics closer to the way humans abstract concepts and connect ideas. We’ll look at how the combination of different levels of abstraction provides new capabilities and an associative intelligence. Guest: Amy Hodler Graphgeeks: https://lnkd.in/dSDCaRw4 #neo4j #graphdatabase #genai #graphrag #knowledgegraph

☁️ Is your organization using Google Cloud? Then seamlessly incorporate Neo4j’s powerful graph capabilities into your existing workflows, driving faster insights and innovation. ‼️ How? Neo4j + Google Cloud integrations enable smarter AI, real-time analytics, and more scalable cloud solutions for your enterprise. Learn more in this blog and visit us at #GoogleCloudNext in Las Vegas! Meet our experts and discuss how this partnership can empower your company. https://bit.ly/4i94waE Ben Lackey Nathan Barney Google Cloud #GENAI #graphdatabase

Going Meta S02E08 – a Series on Semantics, Knowledge Graphs and AI Season 02 Episode 08 of Going Meta – a Series on Semantics, Knowledge Graphs and All Things AI Topic: Agentic Workflows for Dynamic Ontology Selection in KG Construction Jesús Barrasa Repository: https://lnkd.in/dwxTG8eb Knowledge Graph Book: https://bit.ly/3LaqE6b Previous Episodes: https://lnkd.in/ep33Hk76 #graphdatabase #neo4j #graphrag #knowledgegraphs #ontology #data